tiny-mlm-glue-cola-custom-tokenizer-expand-vocab
This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8843
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.6267 | 0.47 | 500 | 4.9363 |
| 5.0496 | 0.94 | 1000 | 4.7414 |
| 4.7524 | 1.4 | 1500 | 4.5982 |
| 4.6772 | 1.87 | 2000 | 4.5334 |
| 4.543 | 2.34 | 2500 | 4.3460 |
| 4.5676 | 2.81 | 3000 | 4.1526 |
| 4.419 | 3.27 | 3500 | 4.3221 |
| 4.3187 | 3.74 | 4000 | 4.0862 |
| 4.3635 | 4.21 | 4500 | 4.1023 |
| 4.2545 | 4.68 | 5000 | 3.8843 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2